Match

SJK Akatemia vs EIF: result 0-3 and analysis

YkkönenMatchday 1Kick-off on June 27, 2020 at 12:00 PM (UTC)OmaSP Stadion, Seinäjoki

SJK Akatemia
0-3
EIF

Full time

What was the result of SJK Akatemia vs EIF?

EIF won 0-3 on June 27, 2020.

Goalscorers

  • 45′D. SmithEIF
  • 45′A. KonqobeEIF
  • 66′J. LiukkonenEIF

Official lineup for SJK Akatemia vs EIF

The starting elevens fielded at kick-off.

SJK Akatemia

  1. 11J. Streng
  2. 20Arttu Aromaa
  3. 36J. Kiuru
  1. 5Joona Lautamaja
  2. 10O. Adawi
  3. 21V. Olsbo
  4. 33A. Krasniqi
  5. 35A. Kujanpää
  1. 3A. Kuivila
  2. 30S. Benga
  1. 32Mehdi El Moutacim

EIF

  1. 7D. Smith
  2. 19J. Liukkonen
  1. 8X. Gela
  2. 10A. Konqobe
  3. 17Zacharias Ekström
  4. 18J. Tapani
  5. 23Z. Sukunda
  1. 2J. Heimonen
  2. 13W. Lindqvist
  3. 34K. Gusočenko
  1. 12J. Koski
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What is the recent form of both teams?

Over their last 15 matches in all competitions, SJK Akatemia have 7 wins, 2 draws and 6 defeats; EIF have 6, 3 and 6.

The competition is shown for every match: in pre-season, several of these games are friendlies.

SJK Akatemia
DateOpponentScoreCompetition
Jun 23, 2020KPV-j(away)0-3Friendlies Clubs
Jun 7, 2020GBK(home)5-1Friendlies Clubs
Feb 22, 2020AC Oulu(away)0-4Suomen Cup
Feb 14, 2020KPV Kokkola(home)0-6Suomen Cup
Feb 8, 2020AC Kajaani(away)0-1Suomen Cup
EIF
DateOpponentScoreCompetition
Jun 17, 2020HIFK Helsinki(home)0-4Friendlies Clubs
Jun 12, 2020Mariehamn(away)1-0Friendlies Clubs
Jun 5, 2020Inter Turku(home)2-2Friendlies Clubs
Mar 7, 2020Turku PS(home)2-4Friendlies Clubs
Feb 29, 2020Paide(home)3-0Friendlies Clubs

How many goals should we expect?

SJK Akatemia score 1.5 and concede 1.7 goals per match over their last 15; EIF score 1.5 and concede 1.7.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
SJK Akatemia1.51.746/1510/15
EIF1.51.757/1510/15

Over the last 15 matches in all competitions.

A question about SJK Akatemia vs EIF?

Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.

Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.

How does Footlab AI compute this prediction?

The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy

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